The core of the system lies in its high-precision visual recognition algorithm. Based on the YOLOv8 object detection ...

Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new neural network architecture designed by artificial intelligence ...

Many water-level monitoring places are equipped with standard water gauges and cameras. Measuring the water level by image processing can work automatically, much better than manual observation. Water ...

A university coursework project investigating semantic segmentation of satellite imagery using deep learning models, with a focus on validating the MOSAIKS spatial splitting methodology on the Potsdam ...

ScaleRSNet is a deep learning model designed for semantic segmentation of remote sensing imagery. It combines multi-scale context aggregation with attention mechanisms to effectively capture features ...

Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...